Bayesian Methods
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Date: Tuesday 18th July
Venue: Arumugam Building, 1st floor
Time: 9.15- 12.45
Title: Introduction to Bayesian methods and their application in social and health sciences
Organiser: Nicky Best, Imperial College
Aims of session: This session will provide an introduction to the ideas behind Bayesian statistical inference and illustrate some of the potential benefits of using a Bayesian approach in a range of challenging applications.
Format: Tutorial-style introductory session, followed by three illustrative seminar talks.
Level: This session assumes familiarity with standard statistical methods, including regression and generalised linear regression, but no previous knowledge of Bayesian methods is needed (participants with experience of Bayesian methods may wish to skip the first part of the session).
Session Programme
| 9.15-10.00 | Introduction to Bayesian inference and computation Nicky Best, Imperial College |
| 10.00-10.10 | Discussion |
| 10.10-10.35 | Bayesian methods for small area estimation and spatial analysis Juanjo Abellan Andres, Imperial College |
| 10.35-10.45 | Discussion |
| 10.45-11.15 | Coffee/tea |
| 11.15-11.50 | Bayesian methods for institutional comparisons and performance monitoring David Ohlssen, University of Cambridge |
| 11.50-12.00 | Discussion |
| 12.00-12.35 | Bayesian methods for multivariate categorical data Jon Forster, University of Southampton |
| 12.35-12.45 | Discussion |
Further programme details available
(including slides, presentations and background information as appropriate)
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